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Fraud Data Analyst Jobs in California (NOW HIRING)

Job Title Senior Data Analyst Location Hybrid - Sunnyvale, CA (2 days onsite/week) Pay Rate $40/hr ... Familiarity with fraud detection models and decisioning platforms. * Experience supporting global ...

Senior Data Analyst

Pleasanton, CA

$95K - $120K/yr

Own the creation and adoption of the Analytical Data Repository for the National Compliance Office to support Fraud, Waste and Abuse analytics. Design Methodology Support Project Planning ...

Senior Fraud Analyst

San Francisco, CA · On-site

$37.50 - $45/hr

Analyze transaction data to identify emerging fraud trends and improve detection strategies. * Balance fraud prevention with customer experience by minimizing false declines. * Partner with cross ...

Fraud and Abuse Operations Analyst

San Francisco, CA · On-site

$138K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Data analysis skills: * Proficiency with SQL for querying data sets and building reports ... Fraud domain certifications (e.g., CFE/fraud examination background). * Exposure to production ML ...

Fraud Operations Specialist

San Francisco, CA · Remote

$81K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Fraud Operations is a division of Wealthfront Brokerage and works closely with Brokerage Operations ... Perform data-driven analysis to identify vulnerabilities and/or proactively determine potential ...

Fraud Operations is a division of Wealthfront Brokerage and works closely with Brokerage Operations ... Perform data-driven analysis to identify vulnerabilities and/or proactively determine potential ...

Fraud Operations is a division of Wealthfront Brokerage and works closely with Brokerage Operations ... Perform data-driven analysis to identify vulnerabilities and/or proactively determine potential ...

Fraud Operations Specialist

Palo Alto, CA · On-site +1

$81K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Fraud Operations is a division of Wealthfront Brokerage and works closely with Brokerage Operations ... Perform data-driven analysis to identify vulnerabilities and/or proactively determine potential ...

The Business Data Analyst collaborates with business teams to determine needs and opportunities for ... Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees ...

The Business Data Analyst collaborates with business teams to determine needs and opportunities for ... Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees ...

Showing results 21-40

Fraud Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do fraud data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for fraud data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a fraud data analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What are the key skills and qualifications needed to thrive as a fraud data analyst, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a typical day look like for a fraud data analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

What are popular job titles related to Fraud Data Analyst jobs in California?

For Fraud Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Fraud Data Analyst jobs in California look for?

The top searched job categories for Fraud Data Analyst jobs in California are:

Infographic showing various Fraud Data Analyst job openings in California as of August 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Data Analyst

1 point system

Sunnyvale, CA • On-site

$40/hr

Contractor

Re-posted 5 days ago


Job description

Job Title

Senior Data Analyst

Location

Hybrid – Sunnyvale, CA (2 days onsite/week)

Pay Rate

$40/hr. on W2

About the Role

We are seeking a Senior Data Analyst to join Walmart’s Marketplace Partner Payments team. This role focuses on data-driven payment analysis, chargeback optimization, automation, risk mitigation, and operational excellence.

You will collaborate cross-functionally with Product, Engineering, Risk, and Operations teams to drive business growth and improve the partner settlement experience. This is a high-impact role for someone passionate about using data to influence business decisions.

Key Responsibilities

  • Analyze and optimize the end-to-end chargeback process, identifying root causes, trends, and automation opportunities.
  • Develop and maintain dashboards, reports, and analytical models to monitor chargeback performance, seller impact, and financial exposure.
  • Partner with Product, Engineering, Risk, and Operations to design data-driven solutions that improve resolution efficiency.
  • Enhance chargeback visibility and transparency for sellers through actionable insights and reporting.
  • Apply advanced analytics and statistical methods to inform policy decisions and mitigate financial risk.
  • Support scaling of settlement and chargeback processes across global marketplaces.

Success Criteria

  • Strong analytical and problem-solving mindset.
  • Ownership mentality with measurable impact delivery.
  • Data-first decision-making approach.
  • Excellent collaboration and communication skills.
  • Ability to translate complex analysis into actionable business insights.
  • Results-driven and self-motivated professional.

Required Qualifications

  • Master’s degree in Data Science, Statistics, Computer Science, Economics, or related field.
  • 4+ years of experience in Payments, Risk, FinTech, or Marketplace Analytics.
  • Advanced SQL expertise (BigQuery, Redshift, Snowflake, or similar cloud platforms).
  • Strong Python or R experience for data analysis, modeling, and automation.
  • Experience with data visualization tools (Looker, Tableau, Power BI).
  • Hands-on experience with A/B testing, experimentation frameworks, and causal inference.
  • Ability to influence cross-functional roadmaps.

Preferred Qualifications

  • Experience with real-time data systems.
  • Familiarity with fraud detection models and decisioning platforms.
  • Experience supporting global marketplace operations.

Thanks and Regards

Monu Singh Chauhan 1Point System LLC
Technical Recruiter
  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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